| User | dotmpe |
| Upload Date | May 18 2025 03:29 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-7820HQ |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | LENOVO 20J7S1K200 |
| Motherboard | LENOVO 20J7S1K200 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7820HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.36 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
692
128.8 IPS |
|
|
Image Classification (HP)
|
100% |
688
128.0 IPS |
|
|
Image Classification (Q)
|
99% |
415
77.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
440
7.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
951
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
921
1.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
870
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
616
48.8 IPS |
|
|
Object Detection (HP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (Q)
|
85% |
374
30.1 IPS |
|
|
Face Detection (SP)
|
100% |
946
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
947
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
831
9.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
922
7.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
920
7.09 IPS |
|
|
Depth Estimation (Q)
|
63% |
703
6.59 IPS |
|
|
Style Transfer (SP)
|
100% |
1140
1.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1137
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
1778
2.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
484
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
936
1.25 KIPS |
|
|
Text Classification (Q)
|
92% |
330
443.1 IPS |
|
|
Machine Translation (SP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
58% |
306
7.19 IPS |